Profile Job Results
Jobs
jp8ekyl8p
Results Ready
Name
nafnet_deblur
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 360, 640, 3]Completion Time
9/26/2026, 1:36:37 PM
Versions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
28.1 ms
Estimated Peak Memory Usage
1 ‑ 687 MB
Compute Units
NPU
671
| Stage | Time | Memory |
|---|---|---|
First App Load | 35.6 s | 661‑668 MB |
Subsequent App Load | 259 ms | 94‑782 MB |
Inference | 28.1 ms | 1‑687 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device